首页|Researchers at Virginia Polytechnic Institute and State University (Virginia Tec h) Target Machine Learning (Predicting Undergraduate Student Evaluations of Teac hing Using Probabilistic Machine Learning: the Importance of Motivational Climat e)
Researchers at Virginia Polytechnic Institute and State University (Virginia Tec h) Target Machine Learning (Predicting Undergraduate Student Evaluations of Teac hing Using Probabilistic Machine Learning: the Importance of Motivational Climat e)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Blacksburg, Virginia, by NewsRx journalists, research stated, “The purpose of this study was to understa nd the complex interactions within a course among motivational climate variables and student evaluations of teaching (SETs) by developing online simulators usin g probabilistic machine learning.” The news correspondents obtained a quote from the research from Virginia Polytec hnic Institute and State University (Virginia Tech), “We used data from 2938 und ergraduate students in 30 classes to create online simulators based on Bayesian Belief Networks.” According to the news reporters, the research concluded: “We created bubble char ts, line graphs, and radar charts to show the relationships between the study va riables.”
BlacksburgVirginiaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningVirgin ia Polytechnic Institute and State University (Virginia Tech)
NETL
NSTL
